Senior Product Manager, Umo Pass/cFlex
Cubic Corporation
Senior Staff Product Manager, Model Training
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Sunnyvale • California, Missouri • 🇺🇸 United States
Visit company websiteSalary
💰 $234,000 - $358,000 per year
Job Level
Senior
About the role
- Own the long-term product vision and roadmap for model training systems across GM’s autonomous vehicle platform, balancing engineering constraints, business needs, and data fidelity requirements.
- Define strategies for how we address the different stages of ML training workflow (data acquisition, training, evaluation, deployment).
- Proactively identify gaps and tradeoffs in system performance, data throughput, and developer productivity; lead initiatives to improve observability, efficiency, and control.
- Drive a metrics-driven approach by defining KPIs for training effectiveness, developer productivity, and cost efficiency.
- Collaborate with data scientists, engineers, infrastructure, finance teams, and stakeholders to align priorities and translate business needs into engineering work.
- Make principled decisions, navigate ambiguity, and communicate strategy and technical details in cohesive written narratives.
Requirements
- 5+ years product management experience
- Proven ability to balance tradeoffs between consumer needs and expectations, legal and regulatory requirements, and business objectives.
- Experience developing solutions to hard problems with many constraints, using sound judgement to assess risks, and to lay out your argument in a well-structured, data-informed, written narrative.
- Demonstrated expertise in writing, with the ability to effectively balance and integrate regulatory, privacy, and engineering user perspectives to ensure clear requirements for data logging.
- Ability to identify key data and metrics required to make decisions and implications of their movement.
- Strong communication and storytelling skills, with the ability to articulate complex concepts to all stakeholders.
- Experience managing robotics, AI, machine learning applications (preferred).
- Relevant educational background in a technical field (preferred).
- Must not require GM immigration sponsorship now or in the future (no H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.).
- Role is hybrid and the selected candidate is expected to report to a specific location at least 3 times a week.
Benefits
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Company vehicle evaluation program: eligible to participate and be assigned a General Motors vehicle to drive and evaluate (participants required to purchase/lease a qualifying GM vehicle every four years unless exceptions apply).
- This job may be eligible for relocation benefits.
- Benefits Overview: From day one, GM supports employee well-being via Total Rewards resources.
- Accommodations: General Motors offers reasonable accommodations for individuals with disabilities during the application process.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
product managementmachine learningdata acquisitiondata evaluationdata deploymentKPI definitionmetrics-driven approachdata loggingrisk assessmentsolution development
Soft skills
communicationstorytellingdecision makingnarrative writingcollaborationproblem solvingjudgmentambiguity navigationstakeholder alignmenttradeoff balancing
